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SUMMARY:Functional digital twinning for in silico phenotyping and therapy 
 response prediction: applications of the novel CircAdapt framework - Joost
  Lumens (Universiteit Maastricht)
DTSTART:20240604T094000Z
DTEND:20240604T100000Z
UID:TALK214561@talks.cam.ac.uk
DESCRIPTION:Joost Lumens\, PhD\, Nick van Osta\, PhD\nThis presentation di
 scusses the application of the Digital Twin (DT) concept using the CircAda
 pt cardiovascular modeling and simulation framework\, highlighting its eff
 ectiveness in creating DTs of a patient&rsquo\;s cardiac pump and tissue f
 unction. Furthermore\, it will be discussed how this technology was used f
 or tracking myocardial disease progression and for predicting response to 
 therapy at individual patient level.\nIn the context of arrhythmogenic car
 diomyopathy (ACM)\, our research demonstrates how CircAdapt-based DTs can 
 identify patient-specific myocardial abnormalities and monitor disease evo
 lution. By employing a robust parameter reduction and estimation pipeline\
 , we successfully personalized the CircAdapt model using a limited set of 
 echocardiographic data on cardiac function\, in particular regional strain
  patterns. The resulting DTs provided unique insight in an individual&rsqu
 o\;s heterogeneity of right ventricular myocardial properties that correla
 te with disease progression. Longitudinal DTs of ACM patients showed that 
 myocardial function deteriorates similarly across different age groups\, c
 hallenging current clinical practice guidelines by suggesting the need for
  continuous follow-up in older populations.\nFurther extending the utility
  of CircAdapt-based DTs\, we evaluated heart failure (HF) patients undergo
 ing cardiac resynchronization therapy (CRT). By generating DTs and simulat
 ing virtual pacing therapy\, we were able to predict the degree of left ve
 ntricular reverse remodeling post-CRT. Our findings indicate that DT-deriv
 ed metrics\, such as pacing-induced change of septal-to-lateral myocardial
  work difference\, correlate strongly with real-world clinical outcomes\, 
 offering a potential support tool for patient selection or even optimizati
 on of therapy delivery.\nOverall\, these studies underscore the potential 
 of CircAdapt-based Digital Twins in providing a deeper understanding of an
  individual&rsquo\;s myocardial phenotype and enhancing personalized treat
 ment strategies.
LOCATION:Seminar Room 1\, Newton Institute
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